Title: Prototype Author: Kriko Published: Mar 3, 2021 Last modified: Jul 13, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. P Letter # Prototype A **prototype** is an early-stage model created to test a product, service, interface, process or idea. It can also be described as an initial sample, but it is not the completed final version of the product. Instead, it is an experimental version used to test certain features, functions, flows or usage logic. Through a prototype, the feasibility of an idea, how users perceive it and which areas need improvement can be identified at an earlier stage. Prototypes can be created at different levels of detail. Some prototypes may consist only of simple sketches on paper. Others may be clickable screens prepared in a digital environment, while some may be three-dimensional models of physical products. For this reason, a prototype does not always have to be very close to the final product. What matters is that it represents the idea, feature or process that needs to be tested. The main purpose of creating a prototype is to test assumptions during the product development process. Whether a product truly responds to a user need, whether the flow is understandable, whether the design is usable or whether the technical solution is feasible can all be evaluated through a prototype. This approach helps identify errors before the production or launch stage. As a result, companies can manage the development process in a more controlled way in terms of both time and cost. In physical product development, prototyping is a highly important stage. For example, an automobile manufacturer may create prototypes before mass production to test the vehicle’s design, ergonomics, safety structure and technical components. These prototypes can be reviewed by engineers, designers, test teams and user groups. Based on the feedback received, improvements can be made to the design, materials, functions or production process. Prototyping is also widely used in digital products. When developing a website, mobile application or software, basic user flows and screen structures can first be prepared as prototypes. Prototype tests can reveal where users struggle, which buttons they fail to notice, which pages create hesitation or which tasks they cannot complete. This allows the product development team to improve the experience before moving into full software development. Prototype, wireframe and mockup are closely related concepts, but they do not mean the same thing. A wireframe usually shows the low-detail structure of a page or screen. A mockup is a more visually developed static version of the design, including colour, typography and brand identity. A prototype focuses on testing user interaction, flow or functionality. Therefore, a prototype can be a simple paper sketch or a clickable digital model. Prototyping is a critical step in design thinking processes. Design thinking aims to understand users, define problems correctly, generate solution ideas, test these ideas and improve them through feedback. A prototype makes the idea tangible and enables real user feedback to be collected. This helps teams move forward not only based on their own assumptions, but also according to user behaviours and needs. Prototypes help evaluate a product in terms of usability, clarity, accessibility and functionality. During a prototype test, how users interact with the product is observed, where they make mistakes and which areas they find difficult are analysed. As a result, design decisions can be based on more reliable data. Prototype usage reduces risk, especially before mass production, software development or high-budget projects. In summary, a **prototype** is an important development tool that allows an idea or product to be tested before it reaches its final form. When used correctly, it helps identify errors early, collect user feedback, reduce costs and develop more successful products. The value of a prototype is not about how advanced it looks, but about how well it answers the question being tested. ## Discover it in the dictionary ### Data Quality Data quality refers to the extent to which data is suitable for a defined purpose. A dataset must generally be accurate, complete, current, consistent… ### Pareto Principle (80/20 Rule) The Pareto Principle, also known as the 80/20 rule, is an observation and prioritization approach suggesting that a large share of outcomes often comes… ### Dirty Data Dirty data refers to information that is inaccurate, incomplete, inconsistent, invalid, duplicated or outdated. 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